The invention discloses a bridge collapse vehicle early warning method based on axle coupling vibration and Internet of Vehicles. The method comprises the following steps: acquiring historical vibration data of a bridge and historical operation parameters of vehicles running on the bridge; constructing an axle coupling motion model based on the historical vibration data of the bridge and the historical operation parameters of the running vehicle; predicting whether the bridge collapses or not and the collapse position of the bridge through the axle coupling motion model; if it is predicted that the bridge collapses, early warning is carried out on vehicles at different positions; according to the method, the axle coupling vibration values of the vehicles on the bridge are obtained through the axle coupling motion model, whether the bridge collapses or not and the collapse position are predicted based on the axle coupling vibration values, influences of factors such as weather and visual field obstacles are avoided, it can be guaranteed that a driver can still receive early warning in time under the condition of extreme weather or visual field obstacles, and the driving safety is improved. Therefore, dangerous accidents such as bridge falling, rear-end collision and the like are avoided.
本发明公开了一种基于车桥耦合振动和车联网的桥梁坍塌车辆预警方法,包括:采集桥梁历史振动数据及桥梁上行驶车辆的历史运行参数;基于桥梁历史振动数据和行驶车辆的历史运行参数构建车桥耦合运动模型;通过车桥耦合运动模型预测桥梁是否发生塌陷以及桥梁塌陷位置;若预测到桥梁发生塌陷,对不同位置的车辆进行预警;本发明通过车桥耦合运动模型获取桥梁上各车辆的车桥耦合振动数值,基于车桥耦合振动数值预测桥梁是否塌陷及塌陷位置,不受天气、视野障碍等因素的影响,可以保证驾驶员在极端天气或有视野障碍的情况下依然能及时接收到预警,做出反应,避免坠桥、追尾等危险事故的发生。
Bridge collapse vehicle early warning method based on axle coupling vibration and Internet of Vehicles
一种基于车桥耦合振动和车联网的桥梁坍塌车辆预警方法
21.01.2025
Patent
Elektronische Ressource
Chinesisch
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